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Minor Latex isssues in 2-D-1
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blulightspecial authored Jan 16, 2024
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23 changes: 11 additions & 12 deletions _problems/unit-02/D-cdf-of-a-discrete-RV/1.md
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3. Provide in bracket notion the cumulative distribution function (cdf) of X
4. What are the probailities P(X <= 2), P(X <= 1.75) and P(X >= 2.3)
Problem modified afterHogg, McKean and Craig - Introduction to Mathematical Statistics
Problem modified afterHogg, McKean and Craig - Introduction to Mathematical Statistics
---
Let $Y$ be a bernoulli random variable defined such that each flip

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$$
P(Y = y) =
\begin{cases}
0.5, &y = 0 \\
0.5, &y = 1 \\
0.5, &y = 0 \\\\
0.5, &y = 1 \\\\
0, & \text{otherwise}
\end{cases}
$$
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That is we sum all the mass from $\( -\infty \)$ to desired value of $x$ and recall that this cumulative probability quantity only changes at values of $X$ for which there is positive mass. Since as we recall probability is only in the range of 0 to 1, and recalling that cdf increases at increasing supp values, we have...

$$
\(F_{X}(x) = \left\\{
\begin{array}{ll}
0 & \text{if } x < 0 \\
0.0625 & \text{if } 0 \leq x < 1 \\
0.3125 & \text{if } 1 \leq x < 2 \\
0.6875 & \text{if } 2 \leq x < 3 \\
0.9375 & \text{if } 3 \leq x < 4 \\
F_{X}(x) =
\begin{cases}
0 & \text{if } x < 0 \\\\
0.0625 & \text{if } 0 \leq x < 1 \\\\
0.3125 & \text{if } 1 \leq x < 2 \\\\
0.6875 & \text{if } 2 \leq x < 3 \\\\
0.9375 & \text{if } 3 \leq x < 4 \\\\
1 & \text{if } 4 \leq x \\
\end{array}
\right. \)
\end{cases}
$$

For part 4 we can just read off of the cdf in bracket notation
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